Information Sources Consulted and Found Useful in Answering Drug-Related Questions

Robin S. Poston, K. Suda, C. Onita
{"title":"Information Sources Consulted and Found Useful in Answering Drug-Related Questions","authors":"Robin S. Poston, K. Suda, C. Onita","doi":"10.2979/ESJ.2009.6.3.3","DOIUrl":null,"url":null,"abstract":"Getting the wrong answer to drug-related questions could be life threatening. We need to better understand which drug-related information sources, including those on the Internet, are best for answering these questions. This paper presents data from documented information search and retrieval efforts performed under the supervision of a pharmacist, seeking answers to drug-related questions. This study uses media richness theory to inform hypotheses about information source uses. The hypotheses center on the premise that reducing uncertainty is the key to compiling a complete and accurate answer; information sources are judged based on their actual performance in supplying the answers to questions submitted to a professional drug information center. The findings of this exploratory study based on logistical and OLS regressions suggest the type of question being asked significantly influences an expert pharmacist’s decision not to consult certain information sources. The findings further suggest that, depending on the type of question being asked, certain sources are much less useful than others in helping arrive at a complete answer. If pharmacists and other health professionals know what influences the sources that experts consult and which sources are the most useful, their ability to get answers to questions is likely to improve, which in turn will improve the quality of care they provide to patients. These findings have implications for theory and practice.","PeriodicalId":133558,"journal":{"name":"e-Service Journal","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"e-Service Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2979/ESJ.2009.6.3.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Getting the wrong answer to drug-related questions could be life threatening. We need to better understand which drug-related information sources, including those on the Internet, are best for answering these questions. This paper presents data from documented information search and retrieval efforts performed under the supervision of a pharmacist, seeking answers to drug-related questions. This study uses media richness theory to inform hypotheses about information source uses. The hypotheses center on the premise that reducing uncertainty is the key to compiling a complete and accurate answer; information sources are judged based on their actual performance in supplying the answers to questions submitted to a professional drug information center. The findings of this exploratory study based on logistical and OLS regressions suggest the type of question being asked significantly influences an expert pharmacist’s decision not to consult certain information sources. The findings further suggest that, depending on the type of question being asked, certain sources are much less useful than others in helping arrive at a complete answer. If pharmacists and other health professionals know what influences the sources that experts consult and which sources are the most useful, their ability to get answers to questions is likely to improve, which in turn will improve the quality of care they provide to patients. These findings have implications for theory and practice.
参考资料来源和发现有用的回答与毒品有关的问题
在与毒品有关的问题上回答错误可能会危及生命。我们需要更好地了解哪些与毒品有关的信息来源,包括互联网上的信息来源,最适合回答这些问题。本文介绍了在药剂师监督下进行的记录信息搜索和检索工作的数据,以寻求与药物相关问题的答案。本研究运用媒介丰富性理论对信息源使用进行假设。这些假设的前提是,减少不确定性是编制完整、准确答案的关键;信息源的评判依据是他们在向专业药品信息中心提供问题答案时的实际表现。这项基于逻辑和OLS回归的探索性研究的结果表明,被问及的问题类型显著影响专家药剂师决定不咨询某些信息来源。研究结果进一步表明,根据所问问题的类型,某些来源在帮助得出完整答案方面远不如其他来源有用。如果药剂师和其他卫生专业人员知道是什么影响了专家咨询的来源,以及哪些来源是最有用的,他们获得问题答案的能力可能会提高,这反过来又会提高他们向患者提供护理的质量。这些发现对理论和实践都有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信